TY - GEN
T1 - Channel Estimation for MIMO Space Time Coded OTFS under Doubly Selective Channels
AU - Bomfin, Roberto
AU - Chafii, Marwa
AU - Nimr, Ahmad
AU - Fettweis, Gerhard
N1 - Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme through the project iNGENIOUS under grant agreement No 957216. And the authors acknowledge CY Paris Initiative for the support of the project through the ASIA Chair of Excellence Grant (PIA/ANR-16-IDEX-0008).
Publisher Copyright:
© 2021 IEEE.
PY - 2021/6
Y1 - 2021/6
N2 - In this paper, we present a unique word (UW)-based channel estimation approach for multiple-input multiple-output (MIMO) systems under doubly dispersive channels, which is applied to orthogonal time frequency space (OTFS) with space time coding (STC). The OTFS modulation has been recently proposed as a robust technique under time varying channels due to its property of spreading the data symbols over time and frequency. Yet another relevant aspect is the employment of multiple antennas at the transmitter and receiver. Therefore, we consider an STC MIMO system with cyclic delay diversity at the transmitter and maximum ratio combining at the receiver, where we develop a UW-based channel estimation scheme for multiple transmit antennas. We show a recently proposed frame optimization scheme for SISO is directly applicable to MIMO. In addition, we evaluate numerically the frame error rate (FER) of OTFS and OFDM with 2×2 and 4×4 MIMO, where the time varying channel is estimated using the UW-based approach. The FER results reveal that OTFS becomes more advantageous than OFDM for MIMO-STC systems with higher order modulation and code rate.
AB - In this paper, we present a unique word (UW)-based channel estimation approach for multiple-input multiple-output (MIMO) systems under doubly dispersive channels, which is applied to orthogonal time frequency space (OTFS) with space time coding (STC). The OTFS modulation has been recently proposed as a robust technique under time varying channels due to its property of spreading the data symbols over time and frequency. Yet another relevant aspect is the employment of multiple antennas at the transmitter and receiver. Therefore, we consider an STC MIMO system with cyclic delay diversity at the transmitter and maximum ratio combining at the receiver, where we develop a UW-based channel estimation scheme for multiple transmit antennas. We show a recently proposed frame optimization scheme for SISO is directly applicable to MIMO. In addition, we evaluate numerically the frame error rate (FER) of OTFS and OFDM with 2×2 and 4×4 MIMO, where the time varying channel is estimated using the UW-based approach. The FER results reveal that OTFS becomes more advantageous than OFDM for MIMO-STC systems with higher order modulation and code rate.
KW - Channel Estimation
KW - MIMO
KW - OFDM
KW - OTFS
KW - Space Time Coding
UR - http://www.scopus.com/inward/record.url?scp=85112792768&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85112792768&partnerID=8YFLogxK
U2 - 10.1109/ICCWorkshops50388.2021.9473618
DO - 10.1109/ICCWorkshops50388.2021.9473618
M3 - Conference contribution
AN - SCOPUS:85112792768
T3 - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
BT - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021
Y2 - 14 June 2021 through 23 June 2021
ER -